Parameter design algorithm for multivariable dynamic systems

Author

Perepyolkin, E.A.

Author_Institution

Altai State Tech. Univ., Barnaul, Russia

fYear

1998

fDate

1998

Firstpage

364

Lastpage

367

Abstract

The paper is devoted to a solution of the parameter design problem for linear multivariable deterministic and stochastic systems. Parameter design is formulated as a nonlinear optimization problem on a set of solutions of the Lyapunov matrix algebraic equation. The possibility of application of gradient optimization methods for the determination of the best value of the adjusted parameters vector is considered. Formulae for evaluation of the gradient of the minimized function are derived. As an example, the parameter design problem of aircraft longitudinal motion is considered. Calculation and simulation results are given. The results should be useful for computer aided design control systems of complex technical objects

Keywords

Lyapunov matrix equations; aircraft control; control system synthesis; gradient methods; minimisation; multivariable control systems; stochastic systems; Lyapunov matrix algebraic equation; aircraft longitudinal motion; complex technical objects; computer aided design control systems; gradient optimization methods; linear multivariable deterministic systems; linear multivariable stochastic systems; minimized function gradient; multivariable dynamic systems; nonlinear optimization problem; parameter design algorithm; Aircraft; Algorithm design and analysis; Computational modeling; Design optimization; Heuristic algorithms; Matrices; Nonlinear equations; Optimization methods; Stochastic systems; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Instrument Engineering Proceedings, 1998. APEIE-98. Volume 1. 4th International Conference on Actual Problems of

Conference_Location

Novosibirsk

Print_ISBN

0-7803-4938-5

Type

conf

DOI

10.1109/APEIE.1998.768988

Filename

768988